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LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@hacharya
hacharya / README.md
Created April 5, 2026 13:50
Dummiclaw - Personal AI Infrastructure Package

Dummiclaw — Personal AI Infrastructure

For complete beginners. No technical knowledge needed.


⚠️ IMPORTANT: Fresh Accounts Required (Prerequisite)

Before anything else, create brand new accounts. Do NOT use your personal accounts.

SYSTEM_PROMPT = "You are an expert analyst scoring companies on their potential to generate Exa web search API volume.
## What Exa Is
Exa is a neural web search API. Developers use it to programmatically search the internet.
## Core Question
How much web search API volume could a deal with this company generate — now or in the future?
Score ONLY on volume potential, not ease of closing.
## Key Signals
@jboner
jboner / latency.txt
Last active April 8, 2026 19:13
Latency Numbers Every Programmer Should Know
Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference 0.5 ns
Branch mispredict 5 ns
L2 cache reference 7 ns 14x L1 cache
Mutex lock/unlock 25 ns
Main memory reference 100 ns 20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy 3,000 ns 3 us
Send 1K bytes over 1 Gbps network 10,000 ns 10 us
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD
@Steakeye
Steakeye / enable-adb-port-for-wsl2.ps1
Last active April 8, 2026 19:11
Setup ADB on WSL and the Windows host so you can connect to the Android device from WSL
netsh advfirewall firewall add rule name="ADB WSL2: Open Port 5037" dir=in action=allow protocol=TCP localport=5037 remoteip=172.16.0.0/12 profile=domain,private